{"title":"设计基于神经科学理论的空间滤波器以改进与错误相关的潜在分类","authors":"S. Rousseau, C. Jutten, M. Congedo","doi":"10.1109/MLSP.2012.6349740","DOIUrl":null,"url":null,"abstract":"In this paper we present an experiment enabling the occurrence of the error-related potential in high cognitive load conditions. We study the single-trial classification of the errorrelated potential and show that classification results can be improved using specific spatial filters designed with the aid of neurophysiological theories on the error-related potential.","PeriodicalId":73290,"journal":{"name":"IEEE International Workshop on Machine Learning for Signal Processing : [proceedings]. IEEE International Workshop on Machine Learning for Signal Processing","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Designing spatial filters based on neuroscience theories to improve error-related potential classification\",\"authors\":\"S. Rousseau, C. Jutten, M. Congedo\",\"doi\":\"10.1109/MLSP.2012.6349740\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present an experiment enabling the occurrence of the error-related potential in high cognitive load conditions. We study the single-trial classification of the errorrelated potential and show that classification results can be improved using specific spatial filters designed with the aid of neurophysiological theories on the error-related potential.\",\"PeriodicalId\":73290,\"journal\":{\"name\":\"IEEE International Workshop on Machine Learning for Signal Processing : [proceedings]. IEEE International Workshop on Machine Learning for Signal Processing\",\"volume\":\"1 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Workshop on Machine Learning for Signal Processing : [proceedings]. IEEE International Workshop on Machine Learning for Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MLSP.2012.6349740\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Workshop on Machine Learning for Signal Processing : [proceedings]. IEEE International Workshop on Machine Learning for Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MLSP.2012.6349740","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Designing spatial filters based on neuroscience theories to improve error-related potential classification
In this paper we present an experiment enabling the occurrence of the error-related potential in high cognitive load conditions. We study the single-trial classification of the errorrelated potential and show that classification results can be improved using specific spatial filters designed with the aid of neurophysiological theories on the error-related potential.
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